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您的检索式：作者名="Raphael Lecomte"
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| 1 | Com- pressed Air Energy Storage multi-stream value assessment on the French energy market 显示文摘 | Xian HE Raphael Lecomte Andrei Nekrassov | 2011 | IEEE Trondheim PowerTech2011，，： | 1 |
| 2 | Genomic profile concordance between pancreatic cyst fluid and neoplastic tissue显示文摘BACKGROUND DNA mutational analysis of pancreatic cystic fluid (CF) is a useful adjunct to the evaluation of pancreatic cysts. KRAS/GNAS or RAF/PTPRD/CTNNB1/RNF43 mutations are highly specific to precancerous or advanced neoplasia. Several studies recently demonstrated the ability of next-generation sequencing (NGS)analysis to detect DNA mutations in pancreatic CF, but few studies have performed a systematic comparative analysis between pancreatic CF and neoplastic surgical tissue (NT). The value of CF-NGS analysis indicators for determining surgical resection necessitates evaluation. AIM To confirm whether CF genomic profiles are a reliable malignancy predictor by comparing NGS mutational analyses of CF and NT. METHODS Patients requiring surgery for high-risk pancreatic cysts were included in a multicenter prospective pilot study. DNA from CF (collected by endoscopic ultrasound-guided fine needle aspiration (known as EUS-FNA)) and NT (collected by surgery) were analyzed by NGS. The primary objective was to compare the mutation profiles of paired DNA samples. The secondary objective was to correlate the presence of specific mutations (KRAS/GNAS, RAF/ PTPRD/CTNNB1/RNF43/POLD1/TP53) with a final cancer diagnosis. Sensitivity and specificity were also evaluated. RESULTS Between December 2016 and October 2017, 20 patients were included in this pilot study. Surgery was delayed for 3 patients. Concordant CF-NT genotypes were found in 15/17 paired DNA, with a higher proportion of mutated alleles in CF than in NT. NGS was possible for all pancreatic CF collected by EUS-FNA. In 2 cases, the presence of a KRAS/GNAS mutation was discordant between CF and NT. No mutations were found in 3 patients with NT or pancreatic cysts with high-grade dysplasia. The sensitivity and specificity of KRAS/GNAS mutations in CF to predict an appropriate indication for surgical resection were 0.78 and 0.62, respectively. The sensitivity and specificity of RAF/PTPRD/CTNNB1 /RNF43/POLD1/TP53 mutations in CF were 0.55 and 1.0, respectively. CONCLUSION Mutational analyses of CF and NT were highly concordant, confirming the value of NGS analysis of CF in the preoperative malignancy assessment. However, these results need to be confirmed on a larger scale. | Arthur Laquière Arnaud Lagarde Bertrand Napoléon Raphael Bourdariat Alexandre Atkinson Gianfranco Donatelli Bernard Pol Laurence Lecomte Laurence Curel Romina Urena-Campos Thierry Helbert Vincent Valantin Francois Mithieux Jean Pascal Buono Philippe Grandval Sylviane Olschwang | 2019 | World Journal of Gastroenterology2019，25，36： | 0 |
| 3 | Livestock induces strong spatial heterogeneity of soil CO2, N2O and CH4 emissions within a semi-arid sylvo-pastoral landscape in West Africa显示文摘Greenhouse gas(GHG) emissions from the surface soils and surface water receiving animal excreta may be important components of the GHG balance of terrestrial ecosystems, but the associated processes are poorly documented in tropical environments, especially in tropical arid and semi-arid areas. A typical sylvo-pastoral landscape in the semi-arid zone of Senegal, West Africa, was investigated in this study. The study area(706 km2 of managed pastoral land) was a circular zone with a radius of 15 km centered on a borehole used to water livestock. The landscape supports a stocking rate ranging from 0.11 to 0.39 tropical livestock units per hectare depending on the seasonal movements of the livestock. Six landscape units were investigated(land in the vicinity of the borehole, natural ponds, natural rangelands, forest plantations, settlements, and enclosed plots). Carbon dioxide(CO_2), nitrous oxide(N_2O) and methane(CH_4) fluxes were measured with static chambers set up at 13 sites covering the six landscape units, and the 13 sites are assumed to be representative of the spatial heterogeneity of the emissions. A total of 216 fluxes were measured during the one-year study period(May 2014 to April 2015). At the landscape level, soils and surface water emitted an average 19.8 t C-CO_2 eq/(hm2·a)(CO_2: 82%, N_2O: 15%, and CH_4: 3%), but detailed results revealed notable spatial heterogeneity of GHG emissions. CO_2 fluxes ranged from 1148.2(±91.6) mg/(m2·d) in rangelands to 97,980.2(±14,861.7) mg/(m2·d) in surface water in the vicinity of the borehole. N_2O fluxes ranged from 0.6(±0.1) mg/(m2·d) in forest plantations to 22.6(±10.8) mg/(m2·d) in the vicinity of the borehole. CH_4 fluxes ranged from –3.2(±0.3) mg/(m2·d) in forest plantations to 8788.5(±2295.9) mg/(m2·d) from surface water in the vicinity of the borehole. This study identified GHG emission 'hot spots' in the landscape. Emissions from the surface soils were significantly higher in the landscape units most frequently used by the animals, i.e., in the vicinity of the borehole and settlements; and emissions measured from surface water in the vicinity of the borehole and from natural ponds were on average about 10 times higher than soil emissions. | Mohamed H ASSOUMA Dominique SERCA Frederic GUERIN Vincent BLANFORT Philippe LECOMTE Ibra TOURE Alexandre ICKOWICZ Raphael J MANLAY Martial BERNOU Jonathan VAYSSIERES | 2017 | Journal of Arid Land2017，9，2： | 0 |
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